Third International Conference on Spoken Language Processing (ICSLP 94)

Yokohama, Japan
September 18-22, 1994

Speaker Independent Continuous Speech Recognition Using an Acoustic-Phonetic Italian Corpus

Bianca Angelini, Fabio Brugnara, D. Falavigna, Diego Giuliani, Roberto Gretter, Maurizio Omologo

IRST-Istituto per la Ricerca Scientifica e Tecnologica, Povo di Trento, Italy

The objective of this paper is to describe the activity that is being carried out at IRST laboratories for the development of an HMM-based speaker independent continuous speech recognition system for the Italian language. The recognition system is trained and tested using the acoustic-phonetic continuous speech portion of the APASCI corpus. Acoustic modeling is based on the use of Continuous Density HMMs with gaussian mixture observation densities. As a baseline, a set of 38 Context Independent Units was evaluated using different numbers of mixture components. Then, two other classes of Context Dependent Unit sets were considered, that provide different performance and system complexity. Performance, expressed in terms of Phone loop recognition accuracy and Word loop recognition accuracy, shows an improvement using both of these classes of unit sets, with respect to the baseline.

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Bibliographic reference.  Angelini, Bianca / Brugnara, Fabio / Falavigna, D. / Giuliani, Diego / Gretter, Roberto / Omologo, Maurizio (1994): "Speaker independent continuous speech recognition using an acoustic-phonetic Italian corpus", In ICSLP-1994, 1391-1394.